Triple

T12725613
Position Surface form Disambiguated ID Type / Status
Subject Sarkology E304097 entity
Predicate language P15 FINISHED
Object Akan E54191 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Akan | Statement: [Sarkology, language, Akan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akan
Context triple: [Sarkology, language, Akan]
  • A. Akan chosen
    Akan is a major Central Tano language spoken primarily in Ghana and parts of Côte d’Ivoire, serving as a key lingua franca and cultural language for the Akan people.
  • B. Akena
    Akena is a Ugandan surname notably borne by politician Jimmy Akena, associated with the country’s contemporary political landscape.
  • C. Osanobua
    Osanobua is the supreme creator god and central deity in the traditional religion and cosmology of the Edo people of Nigeria.
  • D. Ayan
    Ayan is a 2009 Tamil-language action thriller film starring Suriya, known for its smuggling-centric plot and commercial success.
  • E. Anawan
    Anawan was a Wampanoag war leader who became prominent during King Philip’s War as a key Native American commander against English colonial forces.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96415ebe48190ae935bc3a9b00f65 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c85c6b88190bbdd94a43915a7a4 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:25 p.m.